Projects per year
In this paper, a general framework for linear secure distributed matrix multiplication (SDMM) is introduced. The model allows for a neat treatment of straggling and Byzantine servers via a star product interpretation as well as simplified security proofs. Known properties of star products also immediately yield a lower bound for the recovery threshold, as well as an upper bound for the number of colluding workers the system can tolerate. It produces many of the known SDMM schemes as special cases, hence providing unification for the previous literature on the topic. Furthermore, error behavior specific to SDMM is discussed and interleaved codes are proposed as a suitable means for efficient error correction in the proposed model. Analysis of the error correction capability is also provided, largely based on well-known results on interleaved codes.
|Title of host publication||2022 IEEE Information Theory Workshop, ITW 2022|
|Number of pages||6|
|Publication status||Published - 2022|
|MoE publication type||A4 Article in a conference publication|
|Event||IEEE Information Theory Workshop - Mumbai, India|
Duration: 1 Nov 2022 → 9 Nov 2022
|Conference||IEEE Information Theory Workshop|
|Period||01/11/2022 → 09/11/2022|
FingerprintDive into the research topics of 'General Framework for Linear Secure Distributed Matrix Multiplication with Byzantine Servers'. Together they form a unique fingerprint.
- 1 Active
Secure distributed computation schemes with applications to digitalized remote healthcare
Hollanti, C., Villamizar Rubiano, D., Hieta-aho, E., Sacikara Kariksiz, E., Yatsyna, P., Kas Hanna, S. & Makkonen, O.
01/01/2021 → 31/12/2023
Project: Academy of Finland: Other research funding